A Portable Mind Wave Monitor Headband Applied in Intellectual Disabled Children

Abstract:

A portable mind wave monitor which is a special made headband for intellectual disabled children is proposed. The headband could make the children easier to be understood by the teachers and researchers. The EEG (electroencephalogram-graph) sensor, live camera, microphone and a series of sensors is consisted in the headband. With the Wi-Fi or 3G network, the headband could connect to server though the internet at any time. The teachers and researchers can access on the website or apps on smartphone to manage the children daily testing data. Intellectual disable children always have low self-control ability, limited language ability and self-associated complications, and this system meets the special needs for the teachers and researchers. This headband enable teachers and parents have the same perspective as the intellectual disabled children.

• Periodical: Applied Mechanics and Materials (Volumes 336-338)
• Pages: 1563-1569
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.336-338.1563
• Online since: July 2013
• Authors: Zhuo Chen Ge, Ren Jun Liu, Ran Hao Lu, Cheng Fan Lin, Run Jing Zhang, Zi Yi Pan
• Keywords: BCI Technology, EEG, Headband, Intellectual Disabled Children, Smart Phone

References

[1] R. Lysaght, H. Ouellette-Kuntz and C.J. Lin, Work, Vol. 41, 4 (2012), pp.409-422.

[2] J. Ojasalo, H. Seppa¨la¨, N. Suomalainen and R. Moonen: Better Technologies and Services for Smart Homes of Disabled People: Empirical Findings from an Explorative Study among Intellectually Disabled, 2010 2nd International Conference on Software Technology and Engineering (2010).

DOI: 10.1109/icste.2010.5608845

[3] J.M. ALJa'am, S. ElSeoud, A. Edwards, M.G. Ruiz and A. Jaoua: An Assistive Computerized System for Children with Intellectual and Learning Disabilities, 7th International Conference on Smart Homes and Health Telematics, ICOST 2009 (2009), pp.9-16.

DOI: 10.1007/978-3-642-02868-7_2

[4] M. Murugappan, R. Nagarajan and S. Yaacob: Comparison of Different Wavelet Features from EEG Signals for Classifying Human Emotions, 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009, Vol. 2 (2009), pp.836-841.

DOI: 10.1109/isiea.2009.5356339

[5] F.J. Hernández, A.M. Zorrilla and B.G. Zapirain: Management Platform to Support Intellectually Disabled People Daily Tasks Using Android Smartphones, 3rd International Symposium on Ambient Intelligence, ISAmI 2012, Vol. 153 AISC (2012).

DOI: 10.1007/978-3-642-28783-1_15

[6] T. -F. Wu, M. -C. Chen and C. -F. Wu: The Performance of Mouse Proficiency for Adolescents with Intellectual Disabilities, 12th International Conference on Computers Helping People with Special Needs, ICCHP 2010, Vol. 6180 LNCS, PART 2 (2010).

DOI: 10.1007/978-3-642-14100-3_7

[7] J. De Boeck, J. Daems and J. Dekelver: Spe-Ler: Serious Gaming for Youngsters with Intellectual Disabilities, Computers Helping People with Special Needs. 13th International Conference, ICCHP 2012 (2012), pp.479-483.

DOI: 10.1007/978-3-642-31522-0_72

[8] I. Ruiz, B. Garcia and A. Mendez: Technological Solution for Independent Living of Intellectual Disabled People, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops (2009), pp.859-862.

DOI: 10.1007/978-3-642-02481-8_130

[9] U. Cress, K. Wodzicki, M. Bientzle and A. Lingnau, International Journal of Computer-Supported Collaborative Learning, Vol. 6, 2 (2010), pp.307-321.

DOI: 10.1007/s11412-010-9105-5

[10] T. Keskinen, T. Heimonen and M. Turunen: SymbolChat: Picture-Based Communication Platform for Users with Intellectual Disabilities, Computers Helping People with Special Needs. 13th International Conference, ICCHP 2012 (2012), pp.279-286.

DOI: 10.1007/978-3-642-31534-3_43

[11] L. An and T.J. Sullivan, A user-friendly ssvep-based brain-computer interface using a time-domain classifier. Journal of Neural Engineering, Vol. 7, 2 (2010), p.026010.

DOI: 10.1088/1741-2560/7/2/026010